iPhone 16 Pro Max
Geekbench AI Score
4490
Single Precision Score
33010
Half Precision Score
46103
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 12:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
15299
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20598
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18241
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23772
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8804
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153536
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293005
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
100% |
16399
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23113
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41097
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
58013
689.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7611
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95124
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159864
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23648
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245644
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302875
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5633
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50336
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84194
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4854
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4877
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9321
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11344
196.0 IPS |
